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A Novel Automated Mass Digitisation Workflow for Natural History Microscope Slides

by: Allan, E Louise; Livermore, Laurence; Price, Benjamin; Shchedrina, Olha; Smith, Vincent

Publication date: 2019-3-1
Usage: Attribution 4.0 International
Topics: mass digitisation, automation, microscope slides, Phthiraptera, Data Matrix barcodes, natural history collections
Publisher: Pensoft Publishers
Collection: biodiversity
Contributor: Pensoft Publishers
Language: English
Rights: https://biodiversitylibrary.org/permissions
Rights-holder: Copyright held by individual article author(s).
Volume: 7
Item Size: 19.7M

Abstract: The Natural History Museum, London (NHM) has embarked on an ambitious programme to digitise its collections. One aim of the programme has been to improve the workflows and infrastructure needed to support high-throughput digitisation and create comprehensive digital inventories of large scientific collections. This paper presents the workflow developed to digitise the entire Phthiraptera (parasitic lice) microscope slide collection (70,663 slides). Here we describe a novel process of semi-automated mass digitisation using both temporary and permanent barcode labels applied before and during slide imaging. By using a series of barcodes encoding information associated with each slide (i.e. unique identifier, location in the collection and taxonomic name), we can run a series of automated processes, including file renaming, image processing and bulk import into the NHM’s collection management system. We provide data on the comparative efficiency of these processes, illustrating how simple activities, like automated file renaming, reduces image post-processing time, minimises human error and can be applied across multiple collection types.
Addeddate: 2025-01-21 22:33:09
Bhl_virtual_titleid: 210877
Bhl_virtual_volume: v.7 (2019)
Call number: 10_3897_BDJ_7_e32342
Call-number: 10_3897_BDJ_7_e32342
Foldoutcount: 0
Genre: article
Identifier: novelautomatedm7alla
Identifier-ark: ark:/13960/s2r7qbxxf6m
Identifier-bib: 10_3897_BDJ_7_e32342
Identifier-doi: 10.3897/BDJ.7.e32342
Identifier-elocator: e32342
Ocr: tesseract 5.3.0-6-g76ae
Ocr_detected_lang: en
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Ocr_detected_script_conf: 1.0000
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Page_range: 1-15
Pages: 15
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Possible copyright status: In copyright. Digitized with the permission of the rights holder.
Ppi: 300
Source: Biodiversity Data Journal 7
Year: 2019